AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In-Context Forcing is introduced, a progressive autoregressive paradigm that utilizes contexts with decreasing noise levels that enables cross-frame parallel denoising, achieving substantial inference acceleration without sacrificing performance.
This work proposes Visual In-context Editing, a new paradigm elevating video editing from textual instructions to multi-modal visual guidance encompassing single image, image pair, and video pair, and curates VicEdit-400K, the first large-scale dataset for visual in-context video editing.
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